Staff Software Engineer, Platform – Build the Core of an Enterprise AI Startup

About the Company

Company Size: < !0 People

Industry: Agentic AI, Automation, Enterprise Software

Founding Year: 2023

Stage: Early-Stage Startup

Tech Stack: Python, TypeScript, Kubernetes and other leading tools

This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems.

As one of the first platform engineers, you’ll help define, architect, and build the systems that make everything possible. Cognitive agents, context graphs, observability, developer tools—this is zero-to-one, high-ownership work with massive technical depth. You'll be hands-on in setting the technical direction, making foundational choices, and scaling the infrastructure that real-world AI deployments depend on.

• Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems.
• Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries.
• Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless.
• Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation.
• Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.

• Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems.
• Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries.
• Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless.
• Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation.
• Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.

• Founding seat at a venture-backed, mission-driven AI company.
• Huge technical ownership—architect, build, and scale the systems that everything else depends on.
• Tight-knit, high-velocity team—no endless approvals, just smart people building quickly.
• Real-world AI impact—enterprise deployments in industries that matter, not toy projects.
• Competitive comp and meaningful equity upside.